Unlocking the potential of advanced large language models in medication review and reconciliation: A proof-of-concept investigation.

ABSTRACT:

Background

Medication review and reconciliation is essential for optimizing drug therapy and minimizing medication errors. Large language models (LLMs) have been recently shown to possess a lot of potential applications in healthcare field due to their abilities of deductive, abductive, and logical reasoning. The present study assessed the abilities of LLMs in medication review and medication reconciliation processes.

Methods

Four LLMs were prompted with appropriate queries related to dosing regimen errors, drug-drug interactions, therapeutic drug monitoring, and genomics-based decision-making process. The veracity of the LLM outputs were verified from validated sources using pre-validated criteria (accuracy, relevancy, risk management, hallucination mitigation, and citation

SUBMITTER: Sridharan K 

PROVIDER: S-EPMC11385755 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature